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Update main.py
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main.py
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from hugchat import hugchat
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from hugchat.login import Login
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import os
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EMAIL = os.getenv("EMAIL")
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PASSWD = os.getenv("PASSWD")
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from fastapi import FastAPI, Query
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from hugchat import hugchat
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from hugchat.login import Login
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import os
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app = FastAPI()
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# Global variable to store the chatbot instance
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chatbot = None
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def setup_chatbot(email, password, cookie_path, assistant_id):
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"""
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Sets up the Hugging Face chatbot with login and conversation.
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Args:
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email (str): User email for login
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password (str): User password for login
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cookie_path (str): Directory to store cookies
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assistant_id (str): ID of the assistant to use
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Returns:
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hugchat.ChatBot: Configured chatbot instance
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"""
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try:
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# Create cookie directory if it doesn't exist
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os.makedirs(cookie_path, exist_ok=True)
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sign = Login(email, password)
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cookies = sign.login(cookie_dir_path=cookie_path, save_cookies=True)
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chatbot = hugchat.ChatBot(cookies=cookies.get_dict())
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chatbot.new_conversation(assistant=assistant_id, switch_to=True)
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return chatbot
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except Exception as e:
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raise Exception(f"Failed to set up chatbot: {e}")
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# Initialize chatbot at startup
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@app.on_event("startup")
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async def startup_event():
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global chatbot
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# Credentials and configuration
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EMAIL = os.getenv("EMAIL")
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PASSWD = os.getenv("PASSWD")
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COOKIE_PATH_DIR = "./cookies/"
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ASSISTANT_ID = "682e0c1f5f0c3d952a27498e" # Replace with your actual assistant ID
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chatbot = setup_chatbot(EMAIL, PASSWD, COOKIE_PATH_DIR, ASSISTANT_ID)
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@app.post("/generate")
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async def generate_response(
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prompt: str = Query(..., description="The prompt for the AI")
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):
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"""
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Generates a response from the AI based on the provided prompt.
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Args:
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prompt (str): The user's input prompt for the AI.
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Returns:
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dict: A dictionary containing the AI's response or an error message.
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"""
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global chatbot
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if chatbot is None:
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return {"error": "Chatbot not initialized. Please try again later."}
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try:
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# Generate response (non-streaming for simplicity in API context)
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response = chatbot.chat(prompt, stream=False)
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return {"response": response}
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except Exception as e:
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return {"error": f"Failed to generate response: {str(e)}"}
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